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experiences of vulnerable groups (e.g., children, the elderly, low-income households) Integration of spatial and behavioural data to understand N-minute travel patterns The research will contribute
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and biosensors to probe the biochemical and biophysical underpinnings of development cellular processes with high spatial and temporal resolution. We are seeking candidates with interests in
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imperatives. This postdoctoral research will explore the potential of digital technologies - particularly spatial decision-making methodologies and data-driven approaches - to enhance sustainable urban planning
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cooperation with the supervisor. Qualifications Required qualifications: A master’s degree or equivalent in ecology Experience with GIS, spatial statistics and modelling Programming experience: R and/or Python
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, managing and analysing data, and publishing and presenting results. Focus will be on projects involving diagnosis, prognosis, and patient stratification based on bulk, spatial and single cell omics data